Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next computing paradigm. We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough solutions for 2026 and beyond. This role offers unparalleled opportunity to shape the future of computational science while working with cutting-edge quantum hardware and algorithms.
Our Austin-based innovation hub provides state-of-the-art facilities and a collaborative environment where your expertise will directly impact industries from pharmaceuticals to finance. You'll collaborate with Nobel laureates and industry pioneers to overcome quantum supremacy challenges and develop commercially viable quantum applications.
We offer comprehensive benefits including equity packages, flexible work arrangements, and dedicated research funding. Your work will directly contribute to solving humanity's most complex problems through quantum-enabled breakthroughs.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research initiatives to overcome quantum decoherence and error correction challenges
- Develop hybrid quantum-classical computing frameworks for practical industry applications
- Collaborate with hardware teams to optimize quantum software for next-generation processors
- Publish breakthrough research in top-tier journals and present at international conferences
- Secure external funding through NSF and DoD grants for quantum research initiatives
- Mentor junior researchers and foster cross-functional innovation across quantum ecosystems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (postdoc preferred)
- 5+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Proven track record of publishing in Nature/Science or equivalent high-impact journals
- Expertise in quantum error correction and fault-tolerant quantum computing architectures
- Deep understanding of quantum hardware constraints (superconducting, ion trap, photonic)
- Strong background in machine learning and high-performance computing
- Ability to translate complex quantum concepts into practical business applications